If the two probability variables X and Y follow U (0,1) independently of each other, calculate the probability density function of Z = X - Y.
If the two probability variables X and Y follow U (0,1) independently of each other, calculate...
2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector, 2) Two statistically-independent random variables, (X,Y), each have marginal probability density, N(0,1) (e.g., zero-mean, unit-variance Gaussian). Let V-3X-Y, Z = X-Y Find the covariance matrix of the vector,
Choose two numbers X and Y independently at random from the unit interval [0,1] with the uniform density. The probability that X^2+Y^2>0.81 is ?
Let X, Y, Z be independent uniform random variables on [0,1]. What is the probability that Y lies between X and Z.
1. For X ~U(0,1), define Y = XP, PE 0. What is the probability density function of Y? Hint: answer may depend on the sign of p.
Let U, V be random numbers chosen independently from the interval [0,1]. Find the cumulative distribution and density for the random variables (a) Y =max(U,V). (b) Y =min(U,V).
Let X and Y be two independent random variables with X =d R(0, 2) and Y =d exp(1). (a) Use the convolution formula to calculate the probability density function of W =X+Y. (b) Derive the probability density function of U = XY .
Exercise 3-6.1 Two random variables X and Y have a joint probability density function of the form 148 CHAPTER 3 SEVERAL RANDOM VARIABLES -0 elsewhere Find the probability density function of Z-XY. Answer: -In (z) Exercise 3-6.2 Show that the random variables X and Y in Exercise 3-6.1 are independent and find the expected value of their product. Find ElZ] by integrating the function zf(z) Answer: 1/4
em 1. Let X and Y be continuous random variables with joint probability density function y S 2. The two marginal Probl f(z, y) = (1/3)(z + y), fr (zw) in the rectangular region 0 distributions for X and Y are z 1,0 Calculate E(XIY_y) and Var (지Y-y) for each ye[O,2].
Assume that and Z2 are two independent random variables that follow the standard normal distribution N(0,1), so that each of them has the density º(z) = -20 <z<00. Let X = vz1 + Z2, Y = y21 - vž Z2, S = x2 + y2, and R= . (e) From (c), please find the densities of X2 and Y?. (f) From (d) and (e), please find the density of x2 + y2(=S). (g) From (e), please find the density of...
2. Suppose X and Y are independent random variables with the pdf (probability density func- tion) f(x)- for x > 0. (a) What is the joint probability density function of (X, Y)? (b) Define W = X-Y, Z = Y, then what is the joint probability density function fw,z(w, z) for (W, Z). (c) Determine the region for (w, z) where fw,z is positive. (d) Calculate the marginal probability density function for W